Estimating the probability that a given vector is in the convex hull of a random sample

For a d-dimensional random vector X, let pn,X (θ ) be the probability that the convex hull of n independent copies of X contains a given point θ. We provide several sharp inequalities regarding pn,X (θ ) and NX (θ ) denoting the smallest n for which pn,X (θ ) ≥ 1/2. As a main result, we derive the t...

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Main Authors: Hayakawa, S, Lyons, T, Oberhauser, H
Format: Journal article
Language:English
Published: Springer 2023
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author Hayakawa, S
Lyons, T
Oberhauser, H
author_facet Hayakawa, S
Lyons, T
Oberhauser, H
author_sort Hayakawa, S
collection OXFORD
description For a d-dimensional random vector X, let pn,X (θ ) be the probability that the convex hull of n independent copies of X contains a given point θ. We provide several sharp inequalities regarding pn,X (θ ) and NX (θ ) denoting the smallest n for which pn,X (θ ) ≥ 1/2. As a main result, we derive the totally general inequality 1/2 ≤ αX (θ )NX (θ ) ≤ 3d + 1, where αX (θ ) (a.k.a. the Tukey depth) is the minimum probability that X is in a fixed closed halfspace containing the point θ. We also show several applications of our general results: one is a moment-based bound on NX (E[X]), which is an important quantity in randomized approaches to cubature construction or measure reduction problem. Another application is the determination of the canonical convex body included in a random convex polytope given by independent copies of X, where our combinatorial approach allows us to generalize existing results in random matrix community significantly.
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spelling oxford-uuid:f29787cf-23d6-4e3c-94cd-ec9f0349cda92023-07-13T09:48:45ZEstimating the probability that a given vector is in the convex hull of a random sampleJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:f29787cf-23d6-4e3c-94cd-ec9f0349cda9EnglishSymplectic ElementsSpringer2023Hayakawa, SLyons, TOberhauser, HFor a d-dimensional random vector X, let pn,X (θ ) be the probability that the convex hull of n independent copies of X contains a given point θ. We provide several sharp inequalities regarding pn,X (θ ) and NX (θ ) denoting the smallest n for which pn,X (θ ) ≥ 1/2. As a main result, we derive the totally general inequality 1/2 ≤ αX (θ )NX (θ ) ≤ 3d + 1, where αX (θ ) (a.k.a. the Tukey depth) is the minimum probability that X is in a fixed closed halfspace containing the point θ. We also show several applications of our general results: one is a moment-based bound on NX (E[X]), which is an important quantity in randomized approaches to cubature construction or measure reduction problem. Another application is the determination of the canonical convex body included in a random convex polytope given by independent copies of X, where our combinatorial approach allows us to generalize existing results in random matrix community significantly.
spellingShingle Hayakawa, S
Lyons, T
Oberhauser, H
Estimating the probability that a given vector is in the convex hull of a random sample
title Estimating the probability that a given vector is in the convex hull of a random sample
title_full Estimating the probability that a given vector is in the convex hull of a random sample
title_fullStr Estimating the probability that a given vector is in the convex hull of a random sample
title_full_unstemmed Estimating the probability that a given vector is in the convex hull of a random sample
title_short Estimating the probability that a given vector is in the convex hull of a random sample
title_sort estimating the probability that a given vector is in the convex hull of a random sample
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AT lyonst estimatingtheprobabilitythatagivenvectorisintheconvexhullofarandomsample
AT oberhauserh estimatingtheprobabilitythatagivenvectorisintheconvexhullofarandomsample